Research focus: sleep electrophysiology, machine learning, auditory stimulation, NREM parasomnias

Short Description: My PhD develops machine learning methods for the real-time analysis of high-density sleep EEG. The goal is to automatically predict functionally distinct slow-wave subtypes and integrate them into a closed-loop system that targets auditory stimulation more precisely. 

In collaboration with the Neurocenter Lugano, I also investigate the underlying brain dynamics in NREM parasomnias.

Academic CV:
2024 – present: PhD student at the Department of Mathematics and Natural Sciences, University of Zurich, University Children’s Hospital Zurich (Huber SLEEP Lab, Prof. Dr. Reto Huber, ZHAW Institute of computational Life Sciences (Center for Computational Health, Prof. Dr. Sven Hirsch)
2023 – 2024: Research assistant, Biosensor Analysis and Digital Health Group, ZHAW
2019 – 2022: MSc in Computational Life Sciences, ZHAW
2017 – 2018: Research assistant, Agroscope Reckenholz
2005 – 2009: BSc in Natural Sciences (Biology), University of Zurich

Funding & Prices:
2024 – 2027: DIZH Innovation Program Grant «ConCLAS»

Publications: https://orcid.org/0000-0001-6435-9176